Quantifying Illegal Activity: Estimating Dark Rates and Predicting Offenses

Research unit

INNOSUISSE

Project number

102.134 IP-ICT

Project title

Quantifying Illegal Activity: Estimating Dark Rates and Predicting Offenses

Texts for this project

	German	French	Italian	English
Key words	-	-	-
Abstract	-	-	-

Category	Text
Key words (English)	ICT, Data sciences
Abstract (English)	LogObject AG aims to expand its smart software products to analyzing and quantifying illegal activity. Together with ZHAW, we develop two new empirical methods enhancing the predictive power of prevention (burglaries) and introducing quality measures (cyber risk) for Swiss police enforcement.